Machine Learning Modeling Engineer

Requisition Number: 56689

Corning is vital to progress – in the industries we help shape and in the world we share.  We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.  Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers. 

Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses.

We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise.  We partner with Corning’s businesses and the Science & Technology division. Together we create and sustain Corning’s manufacturing as a differential advantage.

Odds are that the email you read this morning travelled over Corning Optical Fiber; the smartphone you used had a Corning cover glass; and the vehicle you drove to work had cleaner emissions because of a Corning catalytic converter substrate. We are seeking out dedicated machine learning modeling engineers who strive to see their work make a difference. If you have a passionate belief in the power of innovation to change the world; if you rate your own success by how many people are touched by your research; and if you are up to the challenge of doing world-class science to make real, profitable advanced materials, then Corning is the place for you. You will enjoy the collaborative and dynamics team environment, learn and grow with other world class machine learning modeling engineers and scientists.

Corning is one of the world's leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people's lives. Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges. Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning's existing & emerging businesses. We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise. We partner with Corning's businesses and the Science & Technology division. Together we create and sustain Corning's manufacturing as a differential advantage.

Scope of Position:

• Develop advanced machine learning models to support efforts in product and materials design and discovery.

• Act as Subject Matter Expert to provide data analytics and machine learning modeling development support, and to create novel computational methods and analytical models to enhance the competitive advantage of Corning products.

• Identify opportunities to apply advanced analytics and machine learning by understanding the business needs and developing project proposals to solve critical problems.

Day to Day Responsibilities:

• Participate in research & engineering projects providing data analytics, machine learning, software development, and modeling support to Corning technology community and to enable effective innovation and competitive advantage of Corning products.

• Interface with customers to define project specifications, research and improve applicable technologies, and work with industry experts to expand Corning expertise in key emerging technology areas.

• Work independently or as part of the team on data preparation, machine learning model development and testing and/or software development & modifications in support of Corning products at different stages.

• Interpret data analysis results in RD&E or business context and articulate the implications of the results to the business function.

• Write and maintain relevant support documentation, prepare and deliver relevant user training, and mentor new engineers and scientists.

Required Education:

• MS or PhD in engineering, computer science, mathematics and statistics, or a related discipline, with specialization in data analytics and machine learning for product and materials discovery and design.

Required Years and Area of Experience:

• 1+ year of work experience in development and deployment of different machine learning models, such as time series modeling, computer vision, and natural language processing, to solve either academic or business problems.

• Experience demonstrated through academic research projects, industrial work, publications, compelling open-source project contributions, or an impressive Kaggle scoreboard.

Required Skills:

• Background in or familiarity with one or more scientific disciplines (e.g., physics, chemistry, engineering) and experiences with physics-based modeling.

• Capable of independently preparing data for machine learning purposes and performing exploratory data analysis.

• Deep knowledge of machine learning techniques, such as traditional machine learning and deep learning algorithms, convolutional neural networks, recurrent neural networks, generative models, and reinforcement learning algorithms.

• Practical experience of using machine learning and deep learning frameworks and libraries for large-scale data mining (e.g., PyTorch, Tensor Flow).

• Strong mathematical and programming skills using Python, R, and/or MATLAB.

• Comfortable working with Windows and Linux parallel processing clusters.

• Ability to communicate and understand the complex requirements of scientists, engineers and professional staff in the development and deployment of solutions and to bridge gaps between “domain” language (engineering, science) and “computing solution” language.

• Strong interpersonal and presentation skills and ability to work as a team player or individual contributor. Must be a proactive and solution-oriented problem solver.

Desired Skills:

• Background in Time Series, Computer Vision, Natural Language Processing, Materials Informatics, or Physics-Informed Neural Networks and track record of journal or conference publications in relevant fields.

• Knowledge of emerging technologies and algorithms in computer vision and/or machine learning in general (e.g., attention algorithms, few-shot learning, explainability, generative networks).

• Experience with physics-based modeling and ability to analyze, optimize, and debug scientific code.

• Demonstrated ability to build data analytics solutions to support the required performance and scale.

• A foundation in software design principles and an ability to design and create applications as necessary.

• Ability to support multiple projects.

• Clear dedication to excellence and advancing beyond the current state.

• Strong personal motivation and proven ability to embrace and drive change.

Travel Requirements:

• Individual may travel multiple times per year for one to two weeks per visit to other Corning locations or customers (domestic and international) or to pursue training opportunities (conferences, classes).

This position supports immigration sponsorship

Corning Puts YOU First! 

We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning. 

• Our monetary peer-to-peer recognition program is tied to our Values and celebrates you and your colleagues’ contributions. 
• Health and well-being benefits include medical, dental, vision, paid parental leave, mental health/substance use, fitness, and disease management programs.  
• Financial benefits include a 401(k) savings plan with company matching contributions and a 100% company-paid pension benefit that grows steadily throughout your career. 
• Companywide bonus and attractive short- and long-term compensation programs are available based on your role and responsibilities.   
• Professional development programs help you grow and achieve your career goals. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.